Lead Product Manager, AI Agents
New
J
JobgetherHome services marketplace
Work remotely from anywhere in the United States.Full-TimeLead
SalaryCompetitive base salary: $170,000–$225,000 annually.
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Job Details
- Experience
- At least 6 years of product management experience, including at least 3 years launching AI products for real users.
- Required Skills
- Product Management
Requirements
- Have at least 6 years of product management experience, including at least 3 years launching AI products for real users.
- Have experience bringing AI products into production, including at least one chatbot or conversational AI experience used by real customers or end users.
- Have hands-on experience evaluating AI product performance, writing evaluation criteria, and analyzing conversation transcripts.
- Understand AI agents and tool use, including executing actions through real systems.
- Be able to design reliable agent experiences and anticipate failure scenarios in live products and operational workflows.
- Demonstrate product strategy and prioritization skills, including evidence-based decisions, roadmap development, and explaining trade-offs.
- Use measurable outcomes and user evidence to guide product decisions.
- Have experience with consumer-facing products and delivering intuitive user experiences.
- Be able to collaborate across functions and lead through influence without direct authority.
- Be able to work independently as a senior individual contributor, combining strategy with hands-on execution.
- Have a bachelor's degree in Business, Analytics, Engineering, Design, or a related field, or equivalent practical experience.
Responsibilities
- Define and prioritize the roadmap for consumer-facing and service professional AI experiences.
- Develop conversational AI capabilities that answer questions, understand needs, and complete tasks such as skipping or rescheduling services.
- Own the AI chat experience in the Pros App to help service professionals manage work and reduce administrative effort.
- Integrate agentic capabilities into existing consumer and professional product journeys.
- Shape messaging between homeowners and service professionals to support successful service delivery.
- Define when AI conversations should be handed off to human support and ensure agents receive conversation context.
- Build capabilities for third-party AI agents, including ChatGPT and Claude, to request services and manage bookings on a customer's behalf.
- Establish evaluation frameworks and launch-readiness standards, and monitor AI quality after release.
- Set safety guardrails for independent AI actions, user confirmations, and failures or incorrect results.
- Improve AI resolution, customer satisfaction, booking and rescheduling accuracy, productivity, and retention.
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